Insurance AI Business Continuity and Disaster Recovery Center

Prepare for, operate through, and recover from AI, data, technology, cyber, vendor, workforce, facility, and regional disruptions affecting critical insurance services and consumer outcomes.

Editable workbook PDF handbook Word guide

32continuity and recovery practices

8resilience domains

12continuity and recovery risks

32practices shown

Disruption scenario

Service criticality

Recovery state

Confirm the critical service, resilience tier, business owner, disruption impact, maximum tolerable downtime, minimum service, RTO, RPO, decision-loss limit, and recovery dependencies. Prioritize protected alternate capacity, tested degraded mode, crisis communications, executive visibility, and frequent recovery exercises.

Find practices

Control domain

Continuity stage

Continuity and recovery practice library

AI continuity governance charter and decision rights

Define executive sponsorship, business and technology ownership, crisis authority, recovery leadership, risk acceptance, funding, testing, reporting, and escalation for AI-enabled services.

Practice ID: GOV-01
Domain: Governance Critical Service Scope and Resilience Tiers
Continuity stage: Prepare
Accountable owner: Chief Operating Officer
Evidence expected: AI continuity governance charter and decision rights record; critical service and recovery record; service, AI use case, resilience tier, owner, business impact, maximum tolerable downtime, minimum service, RTO, RPO and decision-loss objective; people, technology, data, model, vendor and facility dependencies; degraded mode, activation, failover, restoration, validation, communications, evidence, exception, residual risk and approval.

Insurance AI Business Continuity and Disaster Recovery Center

Continuity and recovery practice library

AI continuity governance charter and decision rights

Critical insurance service and AI use-case inventory

Resilience tiering and minimum continuity standard

Policy exception and residual continuity risk governance

AI-enabled service business impact analysis

Maximum tolerable downtime and minimum service level

Recovery time recovery point and decision-loss objectives

Recovery dependency sequence capacity and resource plan

Resilient AI architecture and single-point-of-failure analysis

Model prompt rule configuration and artifact recovery

Data pipeline feature store vector store and queue recovery

Identity secrets network and control-plane resilience

Degraded-mode service design and activation criteria

Manual workaround capacity procedure and training

Consumer safeguard deadline and fairness controls

Backlog prioritization reconciliation and customer recovery

Critical provider dependency and concentration assessment

Contractual continuity recovery and evidence rights

Provider failover substitution and exit readiness

Joint exercise assurance and provider recovery validation

Disruption detection classification and plan activation

Crisis command roles succession and operating cadence

Stakeholder regulator consumer and workforce communications

Emergency decision risk acceptance and resource allocation

Protected backup coverage integrity and recoverability

Failover execution and alternate environment control

Restoration validation reconciliation and consumer-impact review

Return-to-service authorization rollback and stabilization

Scenario-based tabletop and technical recovery exercise program

Recovery objective achievement and control effectiveness testing

Issue root-cause corrective action and retest governance

Executive reporting plan maintenance and continuous improvement